Data Manager Visa Sponsorship Jobs in South Carolina
Data manager roles in South Carolina are concentrated in Columbia, Charleston, and Greenville, where healthcare systems like MUSC, financial institutions, and manufacturing firms drive demand. Companies in these sectors regularly petition for H-1B visa and other work visas. International candidates with database administration, data governance, or analytics backgrounds will find active hiring across multiple industries.
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Get Access To All JobsINTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
INTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Data Manager Job Roles in South Carolina
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Search Data Manager Jobs in South CarolinaData Manager Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data managers in South Carolina?
Healthcare organizations such as MUSC Health and Prisma Health, along with financial services firms and technology companies in the Research Triangle corridor spillover into the Greenville-Spartanburg market, are among the more active sponsors for data manager roles. Large manufacturers with corporate data operations, including BMW's U.S. headquarters in Spartanburg, have also filed H-1B petitions for data-related positions.
Which visa types are most common for data manager roles in South Carolina?
The H-1B is the most common visa for data manager positions in South Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates with a master's degree may benefit from the advanced degree exemption during the H-1B lottery. EB-2 and EB-3 immigrant visa pathways are also used when employers pursue permanent sponsorship.
Which cities in South Carolina have the most data manager sponsorship jobs?
Columbia has the highest concentration, driven by state government agencies, the University of South Carolina, and healthcare networks that rely heavily on data infrastructure. Charleston follows, with growth in financial technology and medical data operations tied to MUSC. Greenville and Spartanburg form a secondary hub, supported by manufacturing headquarters and regional corporate offices that maintain substantial data management teams.
How to find data manager visa sponsorship jobs in South Carolina?
Migrate Mate is a job board specifically built for international candidates seeking visa sponsorship in the U.S. You can filter directly for data manager roles in South Carolina to see employers who have a documented history of sponsoring work visas. This is more efficient than general job searches because the listings are pre-filtered for sponsorship, saving time for candidates on OPT, H-1B, or other work authorization timelines.
What should international data manager candidates know about hiring in South Carolina specifically?
South Carolina does not have a state income tax on wages above a certain threshold, which affects total compensation comparisons when evaluating offers. The state's lower cost of living relative to coastal tech hubs means prevailing wage determinations under H-1B rules may reflect regional rates. University programs at Clemson and the University of South Carolina produce local talent, but employers in growth sectors regularly look beyond the state for specialized data governance and database architecture skills.
What is the prevailing wage for sponsored data manager jobs in South Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.